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Paper Citation Record · LEDGER

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.23515.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.23515 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T20:27:56.698753Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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Outbound references

Observation 321c0160-8f4f-46e7-bfd8-74891cc3e7f7 · outbound

This paper cites Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Reference 1

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Observation c6575c8a-b3f2-4ac1-ba87-1ba9c7e18e5f · outbound

This paper cites Learning dexterous in-hand manipulation,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Learning dexterous in-hand manipulation,

Reference 2

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Observation 8908b724-1a27-4b35-9923-a2f80862f396 · outbound

This paper cites Deep reinforcement learning for robotics: A survey of real-world successes,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Deep reinforcement learning for robotics: A survey of real-world successes,

Reference 3

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Observation c4c19512-aab4-4b2c-b876-1a0ef6a62a59 · outbound

This paper cites Automatic Curriculum Learning For Deep RL: A Short Survey.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 4

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Observation faee6432-1654-4ef1-b939-cb1666f369be · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Curriculum learning for reinforcement learning domains: A framework and survey,

Reference 5

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Observation aca2d95e-81a4-4e9c-8ddd-b76359471af6 · outbound

This paper cites Teachmya- gent: a benchmark for automatic curriculum learning in deep rl,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Teachmya- gent: a benchmark for automatic curriculum learning in deep rl,

Reference 6

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Observation b3e9485c-03bd-434a-a1e6-aedb49475534 · outbound

This paper cites Adaptive Procedural Task Generation for Hard-Exploration Problems.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Adaptive Procedural Task Generation for Hard-Exploration Problems

Reference 7

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Observation 60b2066d-46a7-4443-8f60-cb0a76d50422 · outbound

This paper cites Integrated task and motion planning,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Integrated task and motion planning,

Reference 8

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Observation ba848fe0-ee2a-4d70-992f-b219afd81d36 · outbound

This paper cites League: Guided skill learning and abstraction for long-horizon manipulation,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks League: Guided skill learning and abstraction for long-horizon manipulation,

Reference 9

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Observation ec1e76df-e260-4d29-b698-8d237861a99d · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 10

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Observation dc4b6e49-de66-41bd-b3dd-c0636a36c8a6 · outbound

This paper cites League++: Empowering continual robot learning through guided skill acquisition with large language models,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks League++: Empowering continual robot learning through guided skill acquisition with large language models,

Reference 11

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Observation ced2984c-f95b-4194-8157-8f7abbb51cce · outbound

This paper cites Language to Rewards for Robotic Skill Synthesis.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Language to Rewards for Robotic Skill Synthesis

Reference 12

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Observation 6978979b-9490-4f83-a153-4198a055011f · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 13

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Observation 1f7bddc4-0155-4378-97e7-42058ae87c6c · outbound

This paper cites DrEureka: Language Model Guided Sim-To-Real Transfer.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks DrEureka: Language Model Guided Sim-To-Real Transfer

Reference 14

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Observation 7547f621-f55b-41f9-a429-1089d128a17d · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 15

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Observation 3969548e-c33a-478b-bcde-b60800432059 · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 16

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Observation 845e559d-5e72-4f41-ad84-ec21666dd2a9 · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Progprompt: Generating situated robot task plans using large language models,

Reference 17

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Observation e8d63b76-87ea-42f4-877f-f76e59174cf7 · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,

Reference 18

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Observation bceca78e-35fe-4089-a8fe-1e1234a32de9 · outbound

This paper cites Code as policies: Language model programs for em- bodied control,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Code as policies: Language model programs for em- bodied control,

Reference 19

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Observation c82f244d-d096-4415-96aa-74025a04d4a9 · outbound

This paper cites Text2reward: Reward shaping with language models for reinforcement learning,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Text2reward: Reward shaping with language models for reinforcement learning,

Reference 20

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Observation 9b494a07-2dd1-4e07-8866-85b4c31b85f8 · outbound

This paper cites Towards autonomous reinforcement learning for real-world robotic manipulation with large language models,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Towards autonomous reinforcement learning for real-world robotic manipulation with large language models,

Reference 21

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Observation afc0a706-bf7f-47b9-acb9-c93e5aafad3d · outbound

This paper cites Curricullm: Automatic task curricula design for learning complex robot skills using large language models,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Curricullm: Automatic task curricula design for learning complex robot skills using large language models,

Reference 22

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Observation fabdcdc1-322a-45ad-9cbf-33661fd7b2f2 · outbound

This paper cites A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards

Reference 23

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Observation 7b8356bc-3dff-4cad-85cc-98a74a8fc249 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 24

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Observation e075bbba-c7b8-4282-beda-bbdf3e4e2b5d · outbound

This paper cites Eurekaverse: Environment Curriculum Generation via Large Language Models.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Eurekaverse: Environment Curriculum Generation via Large Language Models

Reference 25

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Observation 641b07a2-acca-47e0-aa43-f36fe3257da0 · outbound

This paper cites Reinforcement learning for classical planning: Viewing heuristics as dense reward generators,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Reinforcement learning for classical planning: Viewing heuristics as dense reward generators,

Reference 26

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Observation fb924ccc-4ec4-4a43-bd92-d05a0271adc4 · outbound

This paper cites Pddl— the planning domain definition language,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Pddl— the planning domain definition language,

Reference 27

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Observation b247f5d4-ff8f-45e0-a3f7-d2e6eb77ec96 · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 28

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Observation e0235542-805c-4fb5-8f4c-18073bdb8462 · outbound

This paper cites Position: Llms can’t plan, but can help planning in llm-modulo frameworks,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Position: Llms can’t plan, but can help planning in llm-modulo frameworks,

Reference 29

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Observation bb4af504-1cc2-4a96-82e0-a793dad6289a · outbound

This paper cites Teacher algo- rithms for curriculum learning of deep rl in continuously parameterized environments,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Teacher algo- rithms for curriculum learning of deep rl in continuously parameterized environments,

Reference 30

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Observation b067b816-995c-487f-a971-855f58309073 · outbound

This paper cites Prioritized level replay,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Prioritized level replay,

Reference 31

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Observation 4663ea1b-3fd8-4a2c-b439-c15da9e83d4a · outbound

This paper cites Active domain randomization,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Active domain randomization,

Reference 32

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Observation be855369-26db-419e-a439-3d5e6fe1d3d1 · outbound

This paper cites Self-organization of early vocal development in infants and machines: the role of intrinsic motivation,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Self-organization of early vocal development in infants and machines: the role of intrinsic motivation,

Reference 33

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Observation c2bf66fe-1ce1-4951-a76a-0adadae111fa · outbound

This paper cites Automatic goal gen- eration for reinforcement learning agents,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Automatic goal gen- eration for reinforcement learning agents,

Reference 34

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Observation a170c149-ab82-4d32-9efb-916a0c80bb33 · outbound

This paper cites R-iac: Robust intrinsically motivated exploration and active learning,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks R-iac: Robust intrinsically motivated exploration and active learning,

Reference 35

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source=pdf_text observed=2026-07-30T20:27:56.660461Z digest=sha256:03a6526dec172bd5806bf5aee88bbc6a21df16b989da4032eb970d64acf4bc80

Observation b6f2551f-da31-4c6c-94aa-4f9afd0d3ac5 · outbound

This paper cites Self-paced deep reinforcement learning,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Self-paced deep reinforcement learning,

Reference 36

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source=pdf_text observed=2026-07-30T20:27:56.665311Z digest=sha256:6233a900c5a0cb742014bccd1b272d9d4eba9fd59d411975997233fd02be6de0

Observation d588c317-bf96-4b83-96b0-c18383de83d8 · outbound

This paper cites Automated curricula through setter-solver interactions.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Automated curricula through setter-solver interactions

Reference 37

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source=pdf_text observed=2026-07-30T20:27:56.669813Z digest=sha256:96e332c72059ed07e8568416c1643d045e5b305bbe703a860658c104d999e95a

Observation 8b0dc604-cac9-43ed-b3c8-da7fe4154e56 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Libero: Benchmarking knowledge transfer for lifelong robot learning,

Reference 38

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source=pdf_text observed=2026-07-30T20:27:56.674552Z digest=sha256:05da03a61ddf5e64bf6ca75d570430e0037fa2d02d75cc69ef68b2549f21a736

Observation 01a4751f-d3d1-4be6-9d4d-6d4374bfb075 · outbound

This paper cites Mujoco: A physics engine for model-based control,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Mujoco: A physics engine for model-based control,

Reference 39

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source=pdf_text observed=2026-07-30T20:27:56.679407Z digest=sha256:2d112f3b090947e161037b0598fbda30f63ccf691dedc32efad4a787e419febc

Observation a71133a2-eefc-4cfc-99f2-f7a42969148c · outbound

This paper cites Curriculum learning in reinforcement learning for multi-step manipulation tasks,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Curriculum learning in reinforcement learning for multi-step manipulation tasks,

Reference 40

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source=pdf_text observed=2026-07-30T20:27:56.683995Z digest=sha256:6940a99624b3ff606dab9d88803ee2d3b77e27a60469a0bba3e29453c8578d78

Observation 231dd5c1-cf06-4e8e-a5a4-055dc64a9d17 · outbound

This paper cites Proximal Policy Optimization Algorithms.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Proximal Policy Optimization Algorithms

Reference 41

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source=pdf_text observed=2026-07-30T20:27:56.688674Z digest=sha256:e97d2f04ed452ac6ca15f500c1693c20e92efff122ab50755dfd04774a7a17a4

Observation 91e553b2-408f-49db-912d-f8e378573fb2 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Stable-baselines3: Reliable reinforcement learning implementations,

Reference 42

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source=pdf_text observed=2026-07-30T20:27:56.694187Z digest=sha256:492ab6925d2ebb502710d7a29b6c486485491bab4af0aa27fdb9f1e46038da17

Observation 3dc95a22-a90b-4371-8d91-5a0e51d2a4e9 · outbound

This paper cites Gpt-4o mini: Advancing cost-efficient intelligence,.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Gpt-4o mini: Advancing cost-efficient intelligence,

Reference 43

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source=pdf_text observed=2026-07-30T20:27:56.698753Z digest=sha256:50cb966236a65ebdfa07ec5cc4a8b0dcf321a4a62417ef3c1c3cb9f0d663dc29

Pith citing papers

No inbound Pith citation observations are available.